The value of a user for codacy

Detalhes bibliográficos
Autor(a) principal: Brígido, Tiago Miguel Cordeiro
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/35669
Resumo: This research was developed in straight collaboration with the Portuguese startup Codacy with the purpose of valuing the different types of users by defining metrics for each segment created. The users were segmented according to their subscription plan — Cloud and Enterprise, Monthly Recurring Revenue (MRR) - Small, Medium and Big Accounts and subscription length - Monthly and Yearly. The main conclusion is that medium and big accounts are the main growth drivers. Furthermore, those metrics also provide powerful insights by enabling Codacy to be more data-driven across departments especially approaching Product Market Fit.
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spelling The value of a user for codacySaasLifetime value of a customer (LTV)Cost of acquisition (CAC)Retention rateDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis research was developed in straight collaboration with the Portuguese startup Codacy with the purpose of valuing the different types of users by defining metrics for each segment created. The users were segmented according to their subscription plan — Cloud and Enterprise, Monthly Recurring Revenue (MRR) - Small, Medium and Big Accounts and subscription length - Monthly and Yearly. The main conclusion is that medium and big accounts are the main growth drivers. Furthermore, those metrics also provide powerful insights by enabling Codacy to be more data-driven across departments especially approaching Product Market Fit.Eça, Afonso FuzetaRUNBrígido, Tiago Miguel Cordeiro2021-01-20T01:30:26Z2018-01-202018-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/35669TID:201861640enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:19:26Zoai:run.unl.pt:10362/35669Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:20.856389Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The value of a user for codacy
title The value of a user for codacy
spellingShingle The value of a user for codacy
Brígido, Tiago Miguel Cordeiro
Saas
Lifetime value of a customer (LTV)
Cost of acquisition (CAC)
Retention rate
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short The value of a user for codacy
title_full The value of a user for codacy
title_fullStr The value of a user for codacy
title_full_unstemmed The value of a user for codacy
title_sort The value of a user for codacy
author Brígido, Tiago Miguel Cordeiro
author_facet Brígido, Tiago Miguel Cordeiro
author_role author
dc.contributor.none.fl_str_mv Eça, Afonso Fuzeta
RUN
dc.contributor.author.fl_str_mv Brígido, Tiago Miguel Cordeiro
dc.subject.por.fl_str_mv Saas
Lifetime value of a customer (LTV)
Cost of acquisition (CAC)
Retention rate
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Saas
Lifetime value of a customer (LTV)
Cost of acquisition (CAC)
Retention rate
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description This research was developed in straight collaboration with the Portuguese startup Codacy with the purpose of valuing the different types of users by defining metrics for each segment created. The users were segmented according to their subscription plan — Cloud and Enterprise, Monthly Recurring Revenue (MRR) - Small, Medium and Big Accounts and subscription length - Monthly and Yearly. The main conclusion is that medium and big accounts are the main growth drivers. Furthermore, those metrics also provide powerful insights by enabling Codacy to be more data-driven across departments especially approaching Product Market Fit.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-20
2018-01-20T00:00:00Z
2021-01-20T01:30:26Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/35669
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dc.language.iso.fl_str_mv eng
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